Facial Recognition App
AI Face Search & Facial Recognition Search
Upload one photo and run an AI face search across more than 1 billion indexed faces. Facial Recognition finds the public social profiles behind a face - on iOS and Android.
What Is Facial Recognition Search?
Facial recognition search is a way of finding a person online using their face instead of their name. You upload a photo, AI converts the face in it into a mathematical signature, and that signature is compared against faces collected from public web pages and social profiles. When the same face appears somewhere else online - in a different photo, under a different name, on a platform you did not know about - the search surfaces it.
That makes it fundamentally different from typing a name into Google. Names are ambiguous, shared by thousands of people, and easy to fake. A face is not. If all you have is a picture - from a dating app, a marketplace listing, an old photo album, or a screenshot someone sent you - facial recognition search is often the only practical way to work out who you are looking at and where else they appear online.
The Facial Recognition app performs this search from your phone. It only looks at publicly available pages: it cannot see private accounts, locked profiles, or anything behind a login. What it does exceptionally well is connect a face to the public footprint that face already has.
The Face Is the Query
No name, username, or email needed - a single photo of a face is enough to start a search
1 Billion+ Indexed Faces
Matches run against faces gathered from public pages and profiles across the web
Results in Seconds
Cloud GPUs compare your query face against the index and return ranked matches almost instantly
A Face Search Engine, Explained
A face search engine works like a text search engine, with one difference: the query is a face. Where Google crawls pages and indexes words, a face search engine crawls public pages and indexes the faces it finds in photos. Each face is stored as an embedding - a compact numeric description of its geometry. When you search, your photo is converted into the same kind of embedding and compared against the entire index at once.
The size and freshness of that index is what separates face search engines in practice. Facial Recognition searches an index of more than 1 billion faces drawn from public profiles and pages, and the index is continuously updated as new public photos appear. A bigger index means a higher chance that the person you are looking for is actually in it - which matters more than any interface feature.
A note on "free face search engines", since it is one of the most-searched phrases in this category: maintaining a face index at this scale requires constant crawling and GPU compute, so genuinely free, unlimited face search does not exist. Tools that advertise it either sharply limit results or are not doing real face matching. Our app is free to download and searches require a subscription - we think that honesty beats a fake "free" label. The one genuinely free face tool we offer is our free face shape detector, which analyzes your own face on-device without uploading anything.
Reverse Face Image Search vs Reverse Image Search
People often reach for Google Images or TinEye when they want to identify someone in a photo, and are surprised when nothing comes back. The reason is simple: classic reverse image search matches the image file. It excels at finding exact copies and near-duplicates of a photo that has been posted before. But if the photo has never appeared online - a picture you took yourself, a screenshot from a video call, a cropped dating-app photo - there is no copy to find, and the search returns nothing.
Reverse face image search solves this by matching the face rather than the file. The AI does not care whether this exact picture exists anywhere else; it looks for other photos containing the same face. That is why it can start from a brand-new photo and still find the person's profiles, and why it keeps working when images have been cropped, filtered, compressed, or taken years apart.
Reverse image search (Google, TinEye)
- ›Matches the picture file itself - pixels, colors, composition
- ›Finds exact copies and near-duplicates of the same photo
- ›Fails when the photo is cropped, filtered, or has never been posted
- ›Cannot connect two different photos of the same person
Reverse face image search (this app)
- ›Matches the face inside the picture, not the file
- ›Finds other, completely different photos of the same person
- ›Works with screenshots, crops, group shots, and older photos
- ›Links a face to the public profiles where it appears
In practice the two are complementary: run an exact-image search to check whether a specific photo has been reused, and a face search to find out who the person is. The app accepts JPG, PNG, HEIC, and WebP images, detects every face in group pictures automatically, and lets you search each detected face separately. For platform-specific walkthroughs, see how to find an Instagram account by photo or find a TikTok user by picture.
How Facial Recognition Search Works
Upload a face pic
AI analyzes and searches
Get accurate matches
What the AI Actually Does
Six steps between your photo and a ranked list of matches.
Face Detection and Isolation
The app first locates every face in your photo and crops each one automatically. There is no manual cropping - if you upload a group picture, you simply pick which detected face to search.
Facial Geometry Mapping
Deep learning models measure the underlying structure of the face - the distances and proportions between features - and convert it into a numeric representation called an embedding.
Comparison Across a Billion Faces
That embedding is compared against more than 1 billion indexed faces from public web pages. Because the comparison is mathematical, it happens in seconds rather than hours.
Tolerance for Real-World Photos
The models are trained to handle glasses, hats, facial hair, makeup, side angles, poor lighting, and low resolution. Facial bone structure changes little over time, so even photos taken years apart can match.
Confidence-Ranked Results
Matches come back ranked by similarity, with links to the public profiles where each matching face was found, so you can review the strongest candidates first.
Nothing Is Kept
Your photo is encrypted in transit, used only to run the search, and then discarded. It is not added to the index, not used to train the AI, and not visible to anyone else.
Online Facial Recognition - in an App, Not a Website
Most people searching for "online facial recognition" or a "facial recognition site" expect a webpage with an upload button. We deliberately built Facial Recognition as a native iOS and Android app instead, because the moments when you need a face search are mobile moments: you are on a dating app, at an event, or looking at a screenshot someone just sent you. Your photos are already on your phone.
A native app removes the friction a website cannot. You pick a photo straight from your camera roll or capture one in-app, faces are detected automatically, and you do not have to keep a browser tab open while the search runs - a push notification tells you when results are ready. Photos are compressed before upload, so searches work on 4G and 5G, and if you lose signal mid-search the request is queued and completed when your connection returns.
None of this costs accuracy. The search itself runs on the same cloud infrastructure and the same deep learning models a desktop tool would use - your phone is just the front end. You get desktop-grade facial recognition online, from the device where your photos actually live.
Find a Face from a Photo: "Who Is This Person?"
The most common facial recognition search is the simplest one: you have a photo, and you want to know who is in it. Maybe it is a profile picture from someone who messaged you, a face in a group photo from an event, or an old picture of someone you lost touch with. Upload it, and the app treats that face as the query.
Matches come back ranked by confidence, each linked to the public profile or page where the matching face was found. Reviewing the top results side by side usually answers the question in under a minute: either the same person shows up across several consistent profiles, or the face has no meaningful public footprint. Because matching is built on facial structure, it survives changed hairstyles, new glasses, weight changes, and years of aging - you can start from an old photo and still find a current profile.
Treat results as strong leads rather than legal proof. Confirm an identity by cross-referencing several matched profiles - names, locations, mutual connections - before acting on it. For a deeper walkthrough, see our guides to finding someone by face and finding social media by face.
Use Cases for Facial Recognition Search
Practical applications for personal and professional use.
Online Safety
Verify people before meeting them from dating apps or online marketplaces. Protect yourself from catfishing, scams, and fake profiles with tools that outperform PimEyes.
Professional Vetting
Conduct background research for hiring, verify business partners, or research clients before important meetings and transactions.
Investigation & Research
Journalists, researchers, and investigators use face search to verify identities, cross-reference accounts, and research suspicious activity.
Reconnecting
Find old friends, classmates, or acquaintances online. If you have their photo, you can find someone by face and locate their current profiles.
Influencer Discovery
Find influencers and content creators across platforms. Verify their authenticity and reach before brand partnerships.
Identity Verification
Verify someone's real identity by finding their complete online footprint. Use Face Check ID to cross-reference profiles across multiple platforms.
What Facial Recognition Search Costs
The Facial Recognition app is free to download on the App Store and Google Play, and you can install it and explore how it works at no cost. Running face searches requires a subscription, which includes search credits; optional credit top-ups are available through standard in-app purchases if you need more.
Billing goes through Apple and Google - no crypto, no external payment processors, and cancellation works like any other app subscription. Current plans and pricing are shown inside the app. If another face search product promises unlimited free searches, check what it actually returns before trusting it with photos.
Run Your First Facial Recognition Search
Download the app on iOS or Android, upload a photo, and see the public profiles behind a face in seconds.
Trusted by Users
Frequently Asked Questions
How accurate is facial recognition search?
Accuracy is high with a clear, reasonably lit photo of the face. The AI maps facial geometry rather than surface details, so it also performs well with angled shots, older photos, and lower-resolution screenshots - although a sharp, front-facing photo always gives the best results.
How is face search different from reverse image search?
Reverse image search (Google Images, TinEye) matches the picture file and finds copies of that exact photo. Facial recognition search matches the face inside the photo, so it can find completely different pictures of the same person and the public profiles they appear on.
Is facial recognition search free?
The Facial Recognition app is free to download on iOS and Android, and you can explore it at no cost. Running searches requires a subscription, with optional credit top-ups for heavier use. No face search engine with a real index is free to run, and we would rather be upfront about that than advertise free searches that do not exist.
Is facial recognition search legal?
Searching publicly available information is legal in most places, and the app only surfaces what is already public. Laws vary by country, and you are responsible for using results lawfully - never for stalking, harassment, discrimination, or decisions that require formal identity verification.
Which platforms can you search?
Searches cover faces found on public pages across the web, including profiles on Instagram, TikTok, Facebook, Twitter/X, LinkedIn, YouTube, Pinterest, and many regional social networks.
Can I search a photo with several people in it?
Yes. The app automatically detects every face in a group photo. You choose which detected face to search, and you can run separate searches for each person in the same picture.
Does it work with screenshots from videos?
Yes. Screenshots from videos, video calls, stories, and messaging apps all work. As long as a face is reasonably visible in the frame, the AI can process it and search for matches.
What image formats are supported?
JPG, PNG, HEIC, and WebP all work. You can upload from your camera roll, take a photo inside the app, or paste a screenshot.
What if the person wears glasses or has changed their look?
The models are trained to see through glasses, hats, facial hair, makeup, and hairstyle changes. Matching focuses on facial bone structure, which stays stable over time, so aging and appearance changes rarely prevent a match.
What photo quality do I need?
Any clear view of the face works. Higher-quality photos improve accuracy, but the AI includes enhancement steps that compensate for blur, poor lighting, and low resolution.
Do you store my photo or face data?
No. Uploaded photos are encrypted in transit, processed to run the search, and then deleted. No permanent face profile is created, your photo is never added to the search index, and it is never used for AI training.
Will the person know I searched for them?
No. Searches are anonymous. The person you search for is never notified, and your search activity is not shared with anyone.
Is there a facial recognition website, or only an app?
Facial Recognition is a native iOS and Android app rather than a website. A native app allows camera-roll integration, in-app capture, and push notifications when results are ready - things a browser tab cannot do well. This site hosts guides and documentation; searches run in the app.
How fast are the results?
Most searches return ranked matches in seconds. If a search takes longer, you can close the app and a push notification will tell you when your results are ready.
What happens if I lose connection during a search?
The app queues your request and completes it automatically once your connection returns. Photos are compressed before upload, so searches work fine on 4G, 5G, or ordinary Wi-Fi.
Can I use it on both iPhone and Android?
Yes. The app is available on the Apple App Store and Google Play, published by the same developer, and works the same way on both platforms.
Can I search for my own face?
Yes, and it is one of the most useful searches you can run. Searching your own photo shows you where your face appears publicly online - a quick audit of your own exposure and a way to spot profiles impersonating you.
What if there are no matches?
No result usually means the person has little public presence, their profile photos do not show their face clearly, or the photo you used was too obscured. Trying a different photo of the same person often helps.
Related guides: find someone by face, find social media by face, best face recognition apps, and PimEyes alternative.